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of Engineering Information duration 12 months expiration date August 31, 2026 at 1:00 pm. Where to apply Website https://www.unipi.it/ Requirements Additional Information Eligibility criteria Eligible destination
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AI4Science Lab, Informatics Institute, University of Amsterdam (dr. Patrick Forré), combining industrial relevance with academic depth in computational science and mathematical modeling. Qualifications You
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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data
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to the mathematical analysis of models inspired by biology and epidemiology. The ability to complement theoretical analysis with numerical simulations and modeling considerations relevant to the problems under study
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development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely
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Position Overview School / Campus / College: School of Medicine Organization: Bioengineering (SOM) Title: Acting Instructor – Mechanistic Computational Modelling Position Details Position
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of visual learning theory, the PhD student will develop methods for understandable latent representations and implicit neural models. For further details, see the ELLIIT project Learning Geometric
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
University (IRMAR). The team expertise encompasses mathematical (stochastic) and numerical modelling of ocean flows, observational and physical oceanography, data assimilation and machine learning. Gathering
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
institute of the Rennes University (IRMAR). The team expertise encompasses mathematical (stochastic) and numerical modelling of ocean flows, observational and physical oceanography, data assimilation and
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model